Unsupervised Learning and Clustered Connectivity Enhance Reinforcement Learning in Spiking Neural Networks.
Philipp WeidelRenato C. DuarteAbigail MorrisonPublished in: Frontiers Comput. Neurosci. (2021)
Keyphrases
- engineering problems
- unsupervised learning
- reinforcement learning
- spiking neural networks
- supervised learning
- state space
- semi supervised
- biologically inspired
- learning algorithm
- learning rules
- dimensionality reduction
- spiking neurons
- neural network
- feed forward
- feature selection
- machine learning
- expectation maximization
- training set
- training data
- biologically plausible